Evidence map›Paper›PMID 33284948›Full record

SynthesisBlood advances2020

A large meta-analysis establishes the role of MRD negativity in long-term survival outcomes in patients with multiple myeloma.

Nikhil C Munshi, Herve Avet-Loiseau, Kenneth C Anderson, Paola Neri, Bruno Paiva, Mehmet Samur, Meletios Dimopoulos, Margarita Kulakova, Annette Lam, Mahmoud Hashim and 6 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Blood advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 9 pooled it
25.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

242 citing papers in PubMed, 9 syntheses or guidelines pooled it, 393 citations in OpenAlex.

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182 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 5 countries.

Nikhil C MunshiDana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Herve Avet-LoiseauUnité de Génomique du Myélome, Institut Universitaire du Cancer de Toulouse (IUC-T) Oncopole, Toulouse, France.
Kenneth C AndersonDana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Paola NeriArnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada.
Bruno PaivaClínica Universidad de Navarra, Pamplona, Centro de Investigacion Medica Aplicada (CIMA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Centro de Investigación Biomédica en Red de Cáncer (CIBERONC) CB16/12/00369, Madrid, Spain.
Mehmet SamurDana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Meletios DimopoulosDepartment of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece.
Margarita KulakovaIngress Health, Rotterdam, The Netherlands.
Annette LamJanssen Global Services, LLC, Raritan, NJ; and.
Mahmoud HashimIngress Health, Rotterdam, The Netherlands.
Jianming HeJanssen Global Services, LLC, Raritan, NJ; and.
Bart HeegIngress Health, Rotterdam, The Netherlands.
Jon UkropecJanssen Global Medical Affairs, Horsham, PA.
Jessica VermeulenJanssen Global Medical Affairs, Horsham, PA.
Sarah CoteJanssen Global Services, LLC, Raritan, NJ; and.
Nizar BahlisArnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada.
Janssen (United States) · USHarvard University · USUniversity of Calgary · CAInstitut universitaire du cancer de Toulouse Oncopole · FRNational and Kapodistrian University of Athens · GRNavarre Institute of Health Research · ES

Funding

Trageting the Multiple Myeloma EpigenomeP50CA100707 · NCI · DANA-FARBER CANCER INSTITUTE · PI ANDERSON, KENNETH C. · 2003 to 2023
$45.0M
Targeting Genomic Instability and Evolution in MyelomaP01CA155258 · NCI · DANA-FARBER CANCER INST · PI Jill Corre · 2011 to 2026
$32.5M
BLRD VA I01 BX000158NCI NIH HHS P01 CA155258NCI NIH HHS P50 CA100707
6 · The paper itself

Abstract

The prognostic value of minimal residual disease (MRD) for progression-free survival (PFS) and overall survival (OS) was evaluated in a large cohort of patients with multiple myeloma (MM) using a systematic literature review and meta-analysis. Medline and EMBASE databases were searched for articles published up to 8 June 2019, with no date limit on the indexed database. Clinical end points stratified by MRD status (positive or negative) were extracted, including hazard ratios (HRs) on PFS and OS, P values, and confidence intervals (CIs). HRs were estimated based on reconstructed patient-level data from published Kaplan-Meier curves. Forty-four eligible studies with PFS data from 8098 patients, and 23 studies with OS data from 4297 patients were identified to assess the association between MRD status and survival outcomes. Compared with MRD positivity, achieving MRD negativity improved PFS (HR, 0.33; 95% CI, 0.29-0.37; P < .001) and OS (HR, 0.45; 95% CI, 0.39-0.51; P < .001). MRD negativity was associated with significantly improved survival outcomes regardless of disease setting (newly diagnosed or relapsed/refractory MM), MRD sensitivity thresholds, cytogenetic risk, method of MRD assessment, depth of clinical response at the time of MRD measurement, and MRD assessment premaintenance and 12 months after start of maintenance therapy. The strong prognostic value of MRD negativity and its association with favorable outcomes in various disease and treatment settings sets the stage to adopt MRD as a treatment end point, including development of therapeutic strategies. This large meta-analysis confirms the utility of MRD as a relevant surrogate for PFS and OS in MM.

Indexed as

Multiple MyelomaCytogeneticsHumansNeoplasm, ResidualPrognosisTreatment Outcome

Identifiers

PMID33284948
PMCPMC7724898
OpenAlexW3111394247

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.